SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion

Autor: Wahed, Muntasir, Gruhl, Daniel, Alba, Alfredo, Gentile, Anna Lisa, Ristoski, Petar, Deluca, Chad, Welch, Steve, Lourentzou, Ismini

Recent advances in text representation have shown that training on large amounts of text is crucial for natural language understanding. However, models trained without predefined notions of topical interest typically require careful fine-tuning when

Externí odkaz: http://arxiv.org/abs/2108.11948

Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs

Autor: Vandewiele, Gilles, Steenwinckel, Bram, Bonte, Pieter, Weyns, Michael, Paulheim, Heiko, Ristoski, Petar, De Turck, Filip, Ongenae, Femke

As KGs are symbolic constructs, specialized techniques have to be applied in order to make them compatible with data mining techniques. RDF2Vec is an unsupervised technique that can create task-agnostic numerical representations of the nodes in a KG

Externí odkaz: http://arxiv.org/abs/2009.04404

A Polyvocal and Contextualised Semantic Web

Autor: van Erp, M., de Boer, V., Verborgh, Ruben, Hose, Katja, Paulheim, Heiko, Champin, Pierre-Antoine, Maleshkova, Maria, Corcho, Oscar, Ristoski, Petar, Alam, Mehwish

Publikováno v: The Semantic Web ISBN: 9783030773847
ESWC
van Erp, M & de Boer, V 2021, A Polyvocal and Contextualised Semantic Web . in R Verborgh, K Hose, H Paulheim, P-A Champin, M Maleshkova, O Corcho, P Ristoski & M Alam (eds), The Semantic Web : 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12731 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 506-512, 18th European Semantic Web Conference, ESWC 2021, Virtual, Online, 6/06/21 . https://doi.org/10.1007/978-3-030-77385-4_30
The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings, 506-512
STARTPAGE=506;ENDPAGE=512;TITLE=The Semantic Web

Current AI technologies and data representations often reflect the popular or majority vote. This is an inherent artefact of the frequency bias of many statistical analysis methods that are used to create for example knowledge graphs, resulting in si

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3577cacbbfdea262a60d857a5cc8b01b
https://doi.org/10.1007/978-3-030-77385-4_30

GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques

Autor: Pellegrino, Maria Angela, Altabba, Abdulrahman, Garofalo, Martina, Ristoski, Petar, Cochez, Michael

Publikováno v: The Semantic Web

While RDF data are graph shaped by nature, most traditional Machine Learning (ML) algorithms expect data in a vector form. To transform graph elements to vectors, several graph embedding approaches have been proposed. Comparing these approaches is in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmc_________::f0bb9943c0b4ffcade55e40185b7d400
http://europepmc.org/articles/PMC7250612

Discovering Research Hypotheses in Social Science Using Knowledge Graph Embeddings

Autor: de Haan, R., Tiddi, I., Beek, W., Verborgh, Ruben, Hose, Katja, Paulheim, Heiko, Champin, Pierre-Antoine, Maleshkova, Maria, Corcho, Oscar, Ristoski, Petar, Alam, Mehwish

Publikováno v: de Haan, R, Tiddi, I & Beek, W 2021, Discovering Research Hypotheses in Social Science Using Knowledge Graph Embeddings . in R Verborgh, K Hose, H Paulheim, P-A Champin, M Maleshkova, O Corcho, P Ristoski & M Alam (eds), The Semantic Web : 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12731 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 477-494, 18th European Semantic Web Conference, ESWC 2021, Virtual, Online, 6/06/21 . https://doi.org/10.1007/978-3-030-77385-4_28
The Semantic Web ISBN: 9783030773847
ESWC
The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings, 477-494
STARTPAGE=477;ENDPAGE=494;TITLE=The Semantic Web

In an era of ever-increasing scientific publications available, scientists struggle to keep pace with the literature, interpret research results and identify new research hypotheses to falsify. This is particularly in fields such as the social scienc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15fe936e3c6181d691167afca8e3475e
https://hdl.handle.net/1871.1/75b3bab9-75b1-4485-a047-836aa708039e